PhD Candidate Next Generation Medical Imaging Systems

Location: Erlangen, Germany
Job Type: Full-Time
Employer: Siemens Healthineers™
We at Siemens Healthineers are committed to helping healthcare providers globally to succeed in today's dynamic environment. We are inspired to transform the way things are done - because we want what is best for our people, our customers and ultimately the health of mankind.

While we are investing in engineering excellence - leading-edge medical technologies and services, we don't stop there. We're also investing in our 48.000 people with the hearts of pioneers and minds of engineers, highly committed and connected in the healthcare industry.

Join Siemens Healthineers as PhD Candidate (m/f) Next Generation Medical Imaging Systems in Erlangen.

If you are ambitious and change makes you thrive, be part of our innovation team and support research and pre-development of our next generation medical imaging systems.

  • You will implement a novel digital data acquisition system
  • Furthermore you will investigate new hard and software architectures for up to 100 GBit/second
  • You will implement the connection between the data acquisition and data reconstruction system
  • You will select and optimize hard and software architecture for imaging reconstruction, in particular GPU and FPGA based solutions
  • You will enhance and optimize image reconstruction
  • You will develop and investigate novel image reconstruction algorithms
  • You work closely with internal business partners as well as academic partners in Europe and the USA

This position may suit you best, if you have a passion for medical imaging technologies.

  • You have completed a master or diploma degree in the area of electrical engineering, medical engineering, informatics, physics or comparable
  • Practical experience, in particular in the area of medical ultrasound and x-ray imaging, is advantageous
  • Knowledge of image reconstruction and post-processing algorithms and tools is beneficial
  • You possess strong attitude towards digital electronics and multi-gigabit data transmission systems
  • Experience in GPU and/or FPGA programming is advantageous; you are eager to build up expert knowledge in hardware acceleration and high data rate processing
  • You will primarily be located in Erlangen/Germany, but you are willing to spend up to 3 months at a foreign business site
  • High proficiency in spoken and written English is required. Basic communication skills in German are advantageous

Apply for this job

About Siemens Healthineers
Siemens Healthineers is the separately managed healthcare business of Siemens AG enabling healthcare providers worldwide to meet their current challenges and to excel in their respective environments. A leader in medical technology, Siemens Healthineers is constantly innovating its portfolio of products and services in its core areas of diagnostic and therapeutic imaging and in laboratory diagnostics and molecular medicine. Siemens Healthineers is also actively developing its digital health services and enterprise services. To help customers succeed in today's dynamic healthcare marketplace, Siemens Healthineers is championing new business models that maximize opportunity and minimize risk for healthcare providers. In fiscal 2016, which ended on September 30, 2016, Siemens Healthineers generated revenue of €13.5 billion and net income of over €2.3 billion and has about 46,000 employees worldwide.

Post your job offer now to start hiring the best digital health talent! For further information, please contact us.

Most Popular Now

AI Tool Offers Deep Insight into the Imm…

Researchers explore the human immune system by looking at the active components, namely the various genes and cells involved. But there is a broad range of these, and observations necessarily...

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

Improved Cough-Detection Tech can Help w…

Researchers have improved the ability of wearable health devices to accurately detect when a patient is coughing, making it easier to monitor chronic health conditions and predict health risks such...

Multimodal AI Poised to Revolutionize Ca…

Although artificial intelligence (AI) has already shown promise in cardiovascular medicine, most existing tools analyze only one type of data - such as electrocardiograms or cardiac images - limiting their...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...